Accurate and early diagnosis of esophageal cancer (EC) remains challenging due to heterogeneous imaging characteristics and the complexity of integrating multimodal data. This study proposes a multimodal-multiscale hybrid fusion network (MHF-Net), which combines domain-driven handcrafted features (HFs) and deep multiscale features (DFs) from multimodal data for the automated diagnosis of EC. MHF-Net uses a dilated-inception block to extract multiscale representations at varied dilation rates and concatenates these DF with domain-specific features via dense connections. A convolutional block attention module further refined spatial and channel-wise features, leveraging global average pooling. The grasshopper optimization algorithm optimized fusion weights and hyperparameters, enhancing hybrid feature integration and overall model robustness. Evaluated across five diverse datasets, MHF-Net achieves state-of-the-art performance (accuracy = 0.970 ± 0.014; F1 score = 0.960 ± 0.017). This study demonstrates clinical applicability with strong potential for future enhancement through the integration of multimodal biomarkers for enhanced diagnostic accuracy.
[This corrects the article DOI: 10.1016/j.isci.2024.108881.].
Stress granules (SGs) are cytoplasmic ribonucleoprotein condensates formed in response to stress-induced inhibition of mRNA translation and polysome disassembly. Despite the broad interest in SG assembly and disassembly in response to acute stress, SG dynamics under chronic stress has not been extensively investigated. We show that cells pre-conditioned with low-dose chronic (24 h exposure) stresses of various natures fail to assemble SGs in response to acute stress. While protein synthesis is drastically decreased by acute stress in pre-conditioned cells, polysome profiling analysis reveals the partial preservation of polysomes. Mechanistically, chronic stress slows down the rate of mRNA translation at the elongation phase, and triggers phosphorylation of translation elongation factor eEF2. These events further promote ribosome stalling, which is distinct from ribosome collisions known to trigger ribosome-associated quality-control pathways. In summary, chronic stress triggers ribosome stalling, which prevents efficient polysome disassembly and SG formation by subsequent acute stress.
The vasculature is essential for tissue function and pathology. Spheroid co-cultures of endothelial and marrow/mesenchymal stromal/stem cells (MSCs) form consistent structures, but the vascular components are short-lived. iPSC-derived vascular organoids can establish complex vasculature but often have variable cell maturation and low reproducibility. This article presents consistently formed, free-floating, long-term vascularized mesenchymal organoids (VMOs), by co-culturing human umbilical vein endothelial cells (HUVECs) and MSCs in a pre-gelled minimal Matrigel scaffold. VMOs support 60-day stable vasculature, exhibiting tissue maturation involving inflammation, extracellular matrix remodeling, and endothelial development. Compared to traditional spheroids, VMOs showed enhanced vascular complexity, sustained extracellular matrix production, and higher cell viability. The system preserved MSC heterogeneity including perivascular cell types, offering physiological relevance. Engraftment of breast cancer cells revealed stromal-tumor niches, enabling modeling of bone marrow metastasis. This robust platform offers an alternative model for studying vascular biology, stromal dynamics, and cancer progression, with potential applications in drug testing.

